Literature DB >> 15600583

Granger causality and information flow in multivariate processes.

Katarzyna J Blinowska1, Rafał Kuś, Maciej Kamiński.   

Abstract

The multivariate versus bivariate measures of Granger causality were considered. Granger causality in the application to multivariate physiological time series has the meaning of the information flow between channels. It was shown by means of simulations and by the example of experimental electroencephalogram signals that bivariate estimates of directionality in case of mutually interdependent channels give erroneous results, therefore multivariate measures such as directed transfer function should be used for determination of the information flow.

Mesh:

Year:  2004        PMID: 15600583     DOI: 10.1103/PhysRevE.70.050902

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  65 in total

1.  Causality analysis of neural connectivity: critical examination of existing methods and advances of new methods.

Authors:  Sanqing Hu; Guojun Dai; Gregory A Worrell; Qionghai Dai; Hualou Liang
Journal:  IEEE Trans Neural Netw       Date:  2011-04-19

2.  Effective connectivity of the multiplication network: a functional MRI and multivariate Granger Causality Mapping study.

Authors:  Frank Krueger; Steffen Landgraf; Elke van der Meer; Gopikrishna Deshpande; Xiaoping Hu
Journal:  Hum Brain Mapp       Date:  2010-08-16       Impact factor: 5.038

3.  Determination of transmission patterns in multichannel data.

Authors:  Maciej Kamiński
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-05-29       Impact factor: 6.237

4.  Effective connectivity during haptic perception: a study using Granger causality analysis of functional magnetic resonance imaging data.

Authors:  Gopikrishna Deshpande; Xiaoping Hu; Randall Stilla; K Sathian
Journal:  Neuroimage       Date:  2008-02-09       Impact factor: 6.556

5.  Dynamics of event-related causality in brain electrical activity.

Authors:  Anna Korzeniewska; Ciprian M Crainiceanu; Rafał Kuś; Piotr J Franaszczuk; Nathan E Crone
Journal:  Hum Brain Mapp       Date:  2008-10       Impact factor: 5.038

6.  Multivariate Granger causality: an estimation framework based on factorization of the spectral density matrix.

Authors:  Xiaotong Wen; Govindan Rangarajan; Mingzhou Ding
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2013-07-15       Impact factor: 4.226

Review 7.  Brain connectivity in autism spectrum disorder.

Authors:  Iman Mohammad-Rezazadeh; Joel Frohlich; Sandra K Loo; Shafali S Jeste
Journal:  Curr Opin Neurol       Date:  2016-04       Impact factor: 5.710

8.  BSMART: a Matlab/C toolbox for analysis of multichannel neural time series.

Authors:  Jie Cui; Lei Xu; Steven L Bressler; Mingzhou Ding; Hualou Liang
Journal:  Neural Netw       Date:  2008-06-05

9.  Directional functional coupling of cerebral rhythms between anterior cingulate and dorsolateral prefrontal areas during rare stimuli: a directed transfer function analysis of human depth EEG signal.

Authors:  Milan Brázdil; Claudio Babiloni; Robert Roman; Pavel Daniel; Martin Bares; Ivan Rektor; Fabrizio Eusebi; Paolo Maria Rossini; Fabrizio Vecchio
Journal:  Hum Brain Mapp       Date:  2009-01       Impact factor: 5.038

10.  Effect of hemodynamic variability on Granger causality analysis of fMRI.

Authors:  Gopikrishna Deshpande; K Sathian; Xiaoping Hu
Journal:  Neuroimage       Date:  2009-12-11       Impact factor: 6.556

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